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Use of automated fetal heart rate analysis to identify risk factors for umbilical cord acidosis at birth.
- Source :
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Computers in biology and medicine [Comput Biol Med] 2019 Dec; Vol. 115, pp. 103525. Date of Electronic Publication: 2019 Oct 31. - Publication Year :
- 2019
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Abstract
- Objective: To identify clinical parameters and intrapartum fetal heart rate parameters associated with a risk of umbilical cord acidosis at birth, using an automated analysis method based on empirical mode decomposition.<br />Methods: Our single-center study included 381 cases (arterial cord blood pH at birth pHa ≤7.15) and 1860 controls (pHa ≥7.25) extracted from a database comprising 8,383 full datasets for over-18 mothers after vaginal or caesarean non-twin, non-breech deliveries at term (>37 weeks of amenorrhea). The analysis of a 120-min period of the FHR recording (before maternal pushing or the decision to perform a caesarean section during labor) led to the extraction of morphological, frequency-related, and long- and short-term heart rate variability variables. After univariate analyses, sparse partial least square selection and logistic regression were applied.<br />Results: Several clinical factors were predictive of fetal acidosis in a multivariate analysis: nulliparity (odds ratio (OR) 95% confidence interval (CI)]: 1.769 [1.362-2.300]), a male fetus (1.408 [1.097-1.811]), and the term of the pregnancy (1.333 [1.189-1.497]). The risk of acidosis increased with the time interval between the end of the FHR recording and the delivery (OR [95%CI] for a 1-min increment: 1.022 [1.012-1.031]). The risk factors related to the FHR signal were mainly the difference between the mean baseline and the mean FHR (OR [95%CI]: 1.292 [1.174-1.424]), the baseline range (1.027 [1.014-1.040]), fetal bradycardia (1.038 [1.003-1.075]) and the late deceleration area (1.002 [1.000-1.005]). The area under the curve for the multivariate model was 0.79 [0.76; 0.81].<br />Conclusion: In addition to clinical predictors, the automated FHR analysis highlighted other significant predictors, such as the baseline range, the instability of the FHR signal and the late deceleration area. This study further extends the routine application of automated FHR analysis during labor and, ultimately, contributes to the development of predictive scores for fetal acidosis.<br /> (Copyright © 2019 Elsevier Ltd. All rights reserved.)
- Subjects :
- Female
Humans
Hydrogen-Ion Concentration
Infant, Newborn
Pregnancy
Risk Factors
Acidosis blood
Acidosis diagnosis
Acidosis physiopathology
Heart Rate, Fetal
Infant, Newborn, Diseases blood
Infant, Newborn, Diseases diagnosis
Infant, Newborn, Diseases physiopathology
Umbilical Cord metabolism
Umbilical Cord physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 1879-0534
- Volume :
- 115
- Database :
- MEDLINE
- Journal :
- Computers in biology and medicine
- Publication Type :
- Academic Journal
- Accession number :
- 31698240
- Full Text :
- https://doi.org/10.1016/j.compbiomed.2019.103525